Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Description

The Natural Language Processing is usually considered a (pre)processing step in text-based knowledge technologies. To the expected audience of PhD students the tasks, methods and techniques used in composing the full language processing pipelines will be presented. These pipelines cover not only language processing at the basic levels (sentence splitting, tokenization, POS/MSD-tagging), but also higher levels (NERC, syntactic parsing, semantic parsing, sematic role labelling, etc.). The lecture will cover not only theoretical concepts needed to understand these methods and tools, but also a practical demonstration of pipelines developed in some EU-funded projects.